DeepSeek-V3.1 vs Pixtral Large

    Comparison

    As of August 20, 2026, DeepSeek-V3.1 is 84% cheaper per million tokens than Pixtral Large. DeepSeek-V3.1 is $0.27 / $1.00 per million input/output tokens versus Pixtral Large at $2.00 / $6.00. Sources: https://api-docs.deepseek.com/quick_start/pricing and https://docs.mistral.ai/platform/pricing/

    Sources: DeepSeek API pricing (https://api-docs.deepseek.com/quick_start/pricing); Mistral AI pricing (https://docs.mistral.ai/platform/pricing/)

    Better value

    DeepSeek-V3.1

    DeepSeek

    $1.27blended / 1M

    Input

    $0.27

    Output

    $1.00

    163.8K ctx|Open Source
    84%
    cheaper

    Pixtral Large

    Mistral

    $8.00blended / 1M

    Input

    $2.00

    Output

    $6.00

    128K ctx|Open Source
    Save $6.73 per million tokens by choosing DeepSeek-V3.1 over Pixtral Large.

    DeepSeek-V3.1 vs Pixtral Large comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    DeepSeek-V3.1
    Pixtral Large
    Provider
    Provider
    DeepSeek
    Mistral
    License
    Open Source
    Open Source
    Release Date
    2025-01-10
    2024-11-18
    Pricing (per 1M tokens)
    Input Price-87%
    $0.27
    $2.00
    Output Price-83%
    $1.00
    $6.00
    Blended (1M + 1M)
    $1.27
    $8.00
    Model Details
    Context Window
    163.8K
    128K
    Max Output Tokens
    163.8K
    128K
    Knowledge Cutoff
    N/A
    N/A
    Throughput
    N/A
    0.1 tok/s
    Benchmarks
    15.9%
    74.9%
    93.4%
    49.8%
    66.3%
    64%
    93.8%
    88.1%
    69.7%
    93.3%
    33.5%
    69.4%
    83.7%
    91.8%
    80.9%

    Verdict

    DeepSeek-V3.1 vs Pixtral Large: the bottom line

    Both models are closely matched on benchmarks. DeepSeek-V3.1 has the pricing advantage, making it the better value unless Pixtral Large's specific capabilities are critical to your workflow.

    DeepSeek-V3.1 vs Pixtral Large FAQ

    Which is cheaper, DeepSeek-V3.1 or Pixtral Large?

    As of August 20, 2026, DeepSeek-V3.1 is 84% cheaper on blended LLM API pricing. DeepSeek-V3.1 costs $0.27 per million input tokens and $1.00 per million output tokens ($1.27 blended 1M-in + 1M-out). Pixtral Large costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://api-docs.deepseek.com/quick_start/pricing and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does DeepSeek-V3.1 vs Pixtral Large cost per million tokens?

    DeepSeek-V3.1 DeepSeek API pricing is $0.27 input and $1.00 output per million tokens via DeepSeek. Pixtral Large Mistral API pricing is $2.00 input and $6.00 output per million tokens via Mistral AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, DeepSeek-V3.1 or Pixtral Large?

    DeepSeek-V3.1 has a published SWE-bench Verified score of 66%. Pixtral Large does not have that eval on this page yet.

    What is the context window for DeepSeek-V3.1 vs Pixtral Large?

    DeepSeek-V3.1 supports a 164K token context window, while Pixtral Large supports 128K tokens. DeepSeek-V3.1 offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.

    Which model performs better on benchmarks, DeepSeek-V3.1 or Pixtral Large?

    Shared benchmark scores for DeepSeek-V3.1 and Pixtral Large are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.

    Is DeepSeek-V3.1 or Pixtral Large better for production use?

    Both DeepSeek-V3.1 and Pixtral Large are production API models. For cost-sensitive production traffic, DeepSeek-V3.1 has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.

    Can I switch between DeepSeek-V3.1 and Pixtral Large in my app?

    Yes. Call DeepSeek-V3.1 through DeepSeek and Pixtral Large through Mistral AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.

    How accurate is this DeepSeek-V3.1 vs Pixtral Large pricing data?

    List rates are the latest published DeepSeek API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://api-docs.deepseek.com/quick_start/pricing and https://docs.mistral.ai/platform/pricing/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.

    What is the output token limit for DeepSeek-V3.1 and Pixtral Large?

    DeepSeek-V3.1 supports up to 164K output tokens per request, while Pixtral Large supports up to 128K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.

    Which model has better throughput, DeepSeek-V3.1 or Pixtral Large?

    Pixtral Large has a measured throughput of approximately 0.1 tokens/second. Throughput data for DeepSeek-V3.1 is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.

    How do I switch the models in this DeepSeek-V3.1 vs Pixtral Large comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open DeepSeek-V3.1 or Pixtral Large from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    DeepSeek-V3.1 vs Pixtral Large pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output. Pixtral Large costs $2.00/M input and $6.00/M output via Mistral AI.

    Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.

    The index

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